NOISyS: Neuroadaptive Systems for Brain Restoration based on Virtual-Reality and
Brain-Computer Interfaces
Description
The aim of NOISyS project (pronounced noisis, from Greek νόησις 'the procedure of information processing that leads to learning and understanding'), is to develop a novel and more inclusive rehabilitation system with the use of emerging technologies, in order to understand and overcome current limitations of motor imagery (MI) Brain-Computer Interfaces (BCI) training for rehabilitative applications. This will be achieved by identifying the neural correlates of motor action and skill acquisition during motor imagery through neuroimaging (EEG/fMRI), formulate machine-learning methods for increased accuracy of the BCI system, but also potentiate human training for skill acquisition and learning through the use of neuroadaptive Virtual Reality (VR).
More details can be found here.
Latest news
[04/2024] Award: The "Dr. Santana Carlos" Award was received by our student Inês Oliveira & Miguel Russo.
[04/2024] Hiring: Open call for RA position in BCIs, VR, AI.
[03/2024] Project milestone: Year 2 commencing.
[01/2024] New publication: K. Vagaja et al., Avatar embodiment prior to motor imagery training in VR does not affect the induced event-related desynchronization: a pilot study, Frontiers Virtual Reality.
[10/2023] New publication: D. Batista et al., Effect of head-mounted virtual reality and vibrotactile feedback in ERD during motor imagery Brain–computer interface training, Brain Computer Interfaces.
[10/2023] New publication: M. Fleury et al., Two is better? Combining EEG and fMRI for BCI and neurofeedback: a systematic review, Journal of Neural Engineering.
[10/2023] Invited talk + hackathon mentorship at the VR Summit 2023 @ Ruhr Bochum/Klaeslab.
[06/2023] Our new editorial on Neurotechnologies and Brain-Computer Interaction for Neurorehabilitation is now out in Frontiers in Neuroergonomics.
[04/2023] Poster accepted for presentation at the 10th International BCI Meeting, June 6 – 9, 2023, Brussels, Belgium. A. Vourvopoulos, et al. Longitudinal Intervention of VR-based BCI Training: A Case Study of Chronic Stroke Patients.
[04/2023] Our publication on Signals was selected as a Journal Cover for March Issue.
[04/2023] New publication: A.Farabbi et al., Investigating the Impact of Visual Perspective in a Motor Imagery-based Brain-Robot Interaction: A Pilot Study with Healhty Participants. Frontiers in Neuroergonomics.
[03/2023] Hiring: Open call for RA/PhD position in BCIs, VR, AI, and Neuroimaging.
[03/2023] New publication: A.Vavoulis et al., A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation, Signals, 2023.
[03/2023] Special Issue: Advances in Principles, Methods and Applications of Brain-Computer Interaction at Sensors (IF: 3.847).
[03/2023] Project website launched.